Institute for Software Research
School of Computer Science, Carnegie Mellon University
Visualizing spatial Dependencies in
Network Topology
Jamie Olson, Kathleen M. Carley
July 2010
Center for the Computational Analysis of Social and Organizational
Systems
CASOS Technical Report
Increasingly, the data available to network analysts includes not
only relationships between entities but the observation of entity
attributes and relations in geographic space. Integrating this information
with existing dynamic network analysis techniques demands new models and
new tools. This paper introduces extensions to the ORA dynamic network
analysis platform intended to meet this need. In particular, we present
new visualization techniques for displaying the network topology of
large, noisy datasets embedded in geographic space. We present these
extensions and demonstrate them on some sample datasets.
23 pages
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